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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 22 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2403.16999
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CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Paper • 2310.06214 • Published -
Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models
Paper • 2403.16999 • Published • 4 -
Chain of Thoughtlessness: An Analysis of CoT in Planning
Paper • 2405.04776 • Published • 1 -
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Paper • 2409.12183 • Published • 37
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PsiPi/liuhaotian_llava-v1.5-13b-GGUF
Image-Text-to-Text • Updated • 812 • 36 -
TRI-ML/prismatic-vlms
Image-to-Text • Updated • 16 -
bczhou/tiny-llava-v1-hf
Image-Text-to-Text • Updated • 1.35k • 56 -
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
Paper • 2402.06118 • Published • 13